Triple

T5006962
Position Surface form Disambiguated ID Type / Status
Subject Decorah crater E112519 entity
Predicate estimatedDiameter P7302 FINISHED
Object about 5.5 kilometers LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: about 5.5 kilometers | Statement: [Decorah crater, estimatedDiameter, about 5.5 kilometers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: estimatedDiameter
Context triple: [Decorah crater, estimatedDiameter, about 5.5 kilometers]
  • A. approximateDiameter chosen
    Indicates that one entity specifies the estimated or rough measurement of another entity’s diameter.
  • B. meanDiameter_km
    Indicates the average diameter of an object or region measured in kilometers.
  • C. hasEquatorialDiameter_km
    Indicates the measurement, in kilometers, of an object's diameter across its equator.
  • D. hasMeanRadius
    Indicates that an entity possesses a specified average radius measurement, typically representing the mean distance from its center to its surface.
  • E. hasPolarDiameter_km
    Indicates the length of an object's diameter measured from pole to pole, expressed in kilometers.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd4433d0b08190877e83959ef40d81 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd730a7590819088ab8d49c5c88c2f completed March 20, 2026, 4:17 p.m.
PD Predicate disambiguation batch_69bd714cbc448190aa53a8a83d768b64 completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:35 p.m.